-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
359 lines (316 loc) · 19.5 KB
/
index.html
File metadata and controls
359 lines (316 loc) · 19.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
<!DOCTYPE HTML>
<html>
<head>
<title>Pratik Bhowal</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=1000">
<link rel="stylesheet" href="https://use.typekit.net/quv7bsd.css"> <!-- fonts -->
<link rel="stylesheet" href="style.css" />
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','https://www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-89797207-1', 'auto');
ga('send', 'pageview');
</script>
</head>
<body id="body">
<div id="main">
<header id="header">
<a href="index.html">HOME</a>
</header>
<div id="profile">
<div id="profile-pic">
<img src="images/people/My_Pic.png">
<p>
<a href="https://scholar.google.com/citations?user=MZ7fKMoAAAAJ&hl=en">Google Scholar /</a>
<a href="images/people/Pratik_Bhowal_Resume_Research-2.pdf" target="_blank">Resume</a>
</p>
</div>
<div id="profile-intro">
<div id="profile-name">Pratik Bhowal</div>
<p>
I am an MSR student at The Robotics Institute, Carnegie Mellon University. I am fortunate to be advised by
<a href="https://davheld.github.io/" target="_blank">Prof. David Held</a> and <a href="https://zackory.com/" target="_blank">Prof. Zackory Erickson</a>.
<p>
<p>
Prior to coming to CMU, I spent two wonderful years working on audio deep learning models at <a href="https://developer.nvidia.com/maxine?sortBy=developer_learning_library%2Fsort%2Ftitle%3Aasc" target="_blank">NVIDIA (Maxine)</a>. I also worked at the CriticalML Lab at University of Waterloo and was advised by <a href="https://sirisharambhatla.com/" target="_blank">Prof Sirisha Rambhatla</a>.
I did my undergrad at Jadavpur University, India and I worked with Prof. Ram Sarkar at the beginning years of my undergrad.
<p>
<p>
In my free time, I enjoy trekking, hiking, traveling, driving, and reading. I recently started climbing.
</p>
<p>
Email: pbhowal [at] andrew [dot] cmu [dot] edu <br>
</p>
</div>
<div style="clear: both;"></div>
</div>
<div class="section recent-work">
<h1>Selected Recent Works</h1>
<div class="slider">
<!-- <a href="https://umi-on-legs.github.io/"><video playsinline="" muted="" autoplay="" loop="">
<source src="images/projects/umi-on-leg.mp4" type="video/mp4">
</video>
</a> -->
<a href="https://in-context-learning.github.io/"><video playsinline="" muted="" autoplay="" loop="">
<source src="images/projects/ours_Cropped_SpeedUp-nsh4-oven_speedup.mp4" type="video/mp4">
</video>
</a>
<a href="https://articubot.github.io/"><video playsinline="" muted="" autoplay="" loop="">
<source src="images/projects/nsh_a_fridge.mp4" type="video/mp4">
</video>
</a>
<a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/bhowal24a/bhowal24a.pdf"><img src="images/projects/VAE.png"></a>
</div>
</div>
<div class="divider"></div>
<div class="divider"></div>
<div class="section news">
<h1>Recent News</h1>
<ul class="news-list">
<li><span class="news-date">April 2025:</span> One paper Articubot accepted in RSS-2025!</li>
<li><span class="news-date">Aug 2024:</span> Started my MS Robotics program at CMU!</li>
<li><span class="news-date">May 2024:</span> One paper accepted at ICML 2024 on disentangled representation learning!</li>
<li><span class="news-date">Aug 2022:</span> Started working as a Deep Learning Engineer at NVIDIA! </li>
<li><span class="news-date">Dec 2021:</span> Joined NVIDIA as an intern! </li>
<li><span class="news-date">Dec 2021:</span> Joined Critical AI lab, University of Waterloo as an intern! </li>
</ul>
</div>
<div class="divider"></div>
<div class="section research">
<h1>Publications</h1>
<div class="research-proj">
<a href="https://in-context-learning.github.io/" class="research-thumb">
<img src="images/projects/In_Context2.png" alt="" />
</a>
<a href="https://in-context-learning.github.io/" class="research-proj-title">In-context Imitation Learning for Articulated Object Manipulation</a>
<p> Yufei Wang* Pratik Bhowal*, Jacinto Suner, Zackory Erickson, David Held <br>
ICRA 2026 (Submitted) <br>
<p>*, ^ Equal contribution</p> •
<a href="https://in-context-learning.github.io/">Webpage</a> •
<a href="">Paper</a> •
<a href="">Code</a>
</p>
</div>
<div class="research-proj">
<a href="https://articubot.github.io/" class="research-thumb">
<img src="images/projects/Articubot.png" alt="" />
</a>
<a href="https://github.com/yufeiwang63/ArticuBot" class="research-proj-title">ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation</a>
<p> Yufei Wang* Ziyu Wang* Mino Nakura^, Pratik Bhowal^, Chia-Liang Kuo^, Yi-Ting Chen, Zackory Erickson, David Held <br>
RSS 2025 <br>
<p>*, ^ Equal contribution</p> •
<a href="https://articubot.github.io/">Webpage</a> •
<a href="https://arxiv.org/pdf/2503.03045">Paper</a> •
<a href="https://github.com/yufeiwang63/ArticuBot">Code</a>
</p>
</div>
<div class="research-proj">
<a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/bhowal24a/bhowal24a.pdf" class="research-thumb">
<img src="images/projects/Why_VAEs.png" alt="" />
</a>
<a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/bhowal24a/bhowal24a.pdf" class="research-proj-title">Why do Variational Autoencoders Really Promote Disentanglement?</a>
<p> Pratik Bhowal, Achint Soni, Sirisha Rambhatla <br>
ICML 2024 <br>
<a href="https://raw.githubusercontent.com/mlresearch/v235/main/assets/bhowal24a/bhowal24a.pdf"> Paper</a> •
<a href=> Code</a>
</p>
</div>
<div class="research-proj">
<a href="https://articubot.github.io/" class="research-thumb">
<img src="images/projects/IEEE_Transactions.png" alt="" />
</a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9891796" class="research-proj-title">Evaluation of fuzzy measures using Dempster–Shafer belief structure: A classifier fusion framework</a>
<p> P Bhowal, S Sen, JH Yoon, ZW Geem, R Sarkar <br>
IEEE Transactions on Fuzzy Systems 2022<br>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9891796">Paper</a> •
</p>
</div>
<div class="research-proj">
<a href="https://articubot.github.io/" class="research-thumb">
<img src="images/projects/IEEE_Journal.png" alt="" />
</a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9534669" class="research-proj-title">Choquet integral and coalition game-based ensemble of deep learning models for COVID-19 screening from chest X-ray images</a>
<p> P Bhowal, S Sen, JH Yoon, ZW Geem, R Sarkar <br>
IEEE Journal of Biomedical and Health Informatics 2021 <br>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9534669">Paper</a> •
</p>
</div>
</span>
<div style="clear: both;"></div>
</div>
<div class="divider"></div>
<div class="section experience">
<h1>Experience</h1>
<div class="timeline">
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Deep Learning Engineer (Audio Deep Learning) - IC2 (last position)</h3>
<h4>NVIDIA</h4>
<p class="timeplace">Augest 2022 – August 2024 ·Pune, India</p>
<ul>
<li>Worked on developing Deep Learning Audio Algotithms.</li>
<li>Worked on the Studio Voice architecture which converts unfocused low quality audio to studio quality audio.</li>
<li>Developed the Speaker Focus architecture, which removes background speaker and noise from the audio.</li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Research Assistant</h3>
<h4>CriticalML Group, University of Waterloo</h4>
<p class="timeplace">Dec 2021 – Dec 2023 · Waterloo, Ontario</p>
<ul>
<li>Worked on mathematical interpretibility of Generative models to analyse the representations learnt by the models.</li>
<li>Submitted a work to ICML-2024 explaining how VAEs learn unsupervised disentanglement with certain data sources.</li>
<li>Explained how the choices of loss functions, the architecture and the implicit biases in datasets affect learning the disentangled representation learnt.</li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Machine Learning Engineering Intern</h3>
<h4>Qualcomm</h4>
<p class="timeplace">June 2025 – August 2025 ·San Diego, USA</p>
<ul>
<li>Worked on fine-tuning LLMs and developing a multimodal retrieval system for LLMs. </li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>System Software Development Intern</h3>
<h4>NVIDIA</h4>
<p class="timeplace">December 2021 – June 2022 ·Pune, India</p>
<ul>
<li>Worked on fine-tuning LLMs and developing a multimodal retrieval system for LLMs. </li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Research Intern</h3>
<h4>Carnegie Mellon University</h4>
<p class="timeplace"> May 2021 - Dec 2021</p>
<ul>
<li>Developed a novel Network for Saliency Detection. In this project I have developed a novel deep learning architecture for Saliency Detection. Paper submitted to CVPR.</li>
<li>Developed a meta learning based technique for video anomaly detection. In this project I developed meta learning techniques for Video Anomaly Detection.</li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Research Intern</h3>
<h4>IIT-BHU</h4>
<p class="timeplace"> May 2021 - Dec 2021</p>
<ul>
<li>Realistic And Textured Terrain Data generation using GANs.</li>
<li> I first generated Height Maps using GANs. Next Texturing of these Height Maps was done using the satellite images present.</li>
</ul>
</div>
</div>
<div class="timeline-item">
<div class="timeline-dot"></div>
<div class="timeline-content">
<h3>Research Assistant</h3>
<h4>Jadavpur University</h4>
<p class="timeplace"> June 2019 - August 2021</p>
<ul>
<li>I mostly worked on evaluating Choquet Interals and investigating the best to evaluate Fuzzy Measures.</li>
<li> Showed that Dempster–Shafer (DS) belief structures provide partial information about underlying fuzzy measures and leveraged this insight to evaluate fuzzy measures using the DS belief structure.</li>
<li> In another work, I used Shapley values to evaluate Fuzzy Measures.</li>
</ul>
</div>
</div>
</div>
</div>
<div class="divider"></div>
<!-- <div class="section sponsors">
<h1>Sponsors</h1>
<div class="sponsor-thumb">
<a href="https://www.tri.global/"><img src="images/sponsors/toyota-research-institute.jpg" alt="" /></a>
<a href="https://www.amazonrobotics.com/"><img src="images/sponsors/amazon-robotics.jpg" alt="" /></a>
<a href="https://ai.google/"><img src="images/sponsors/google-ai.png" alt="" /></a>
<a href=""><img src="images/sponsors/NSF_4-Color_bitmap_Logo.png" alt="" /></a>
</div>
<div style="clear: both;"></div> -->
</div>
</div>
<script>
function toggleNews() {
var moreNews = document.getElementById("moreNews");
var moreNewsBtn = document.getElementById("moreNewsBtn");
var lessNewsBtn = document.getElementById("lessNewsBtn");
if (moreNewsBtn.style.display === "none") {
moreNews.style.display = "none";
moreNewsBtn.style.display = "inline";
lessNewsBtn.style.display = "none";
} else {
moreNews.style.display = "inline";
moreNewsBtn.style.display = "none";
lessNewsBtn.style.display = "inline";
}
}
function toggleTalks() {
var moreTalks = document.getElementById("moreTalks");
var moreTalksBtn = document.getElementById("moreTalksBtn");
var lessTalksBtn = document.getElementById("lessTalksBtn");
if (moreTalksBtn.style.display === "none") {
moreTalks.style.display = "none";
moreTalksBtn.style.display = "inline";
lessTalksBtn.style.display = "none";
} else {
moreTalks.style.display = "inline";
moreTalksBtn.style.display = "none";
lessTalksBtn.style.display = "inline";
}
}
function togglePubs() {
var morePubs = document.getElementById("morePubs");
var morePubsBtn = document.getElementById("morePubsBtn");
var lessPubsBtn = document.getElementById("lessPubsBtn");
if (morePubsBtn.style.display === "none") {
morePubs.style.display = "none";
morePubsBtn.style.display = "inline";
lessPubsBtn.style.display = "none";
} else {
morePubs.style.display = "inline";
morePubsBtn.style.display = "none";
lessPubsBtn.style.display = "inline";
}
}
function showRep() {
var repBtn = document.getElementById("repBtn");
var showAllBtn = document.getElementById("showAllBtn");
repBtn.style.color = "#49bf9d";
repBtn.style.borderBottom = "1px solid #a4dfce";
showAllBtn.style.color = "#191e3f";
showAllBtn.style.borderBottom = "none";
var nonRep = document.getElementsByClassName("nonRep");
for (var i = 0; i < nonRep.length; i++) {
nonRep.item(i).style.display = "none";
}
}
function hideRep() {
var repBtn = document.getElementById("repBtn");
var showAllBtn = document.getElementById("showAllBtn");
repBtn.style.color = "#191e3f";
repBtn.style.borderBottom = "none";
showAllBtn.style.color = "#49bf9d";
showAllBtn.style.borderBottom = "1px solid #a4dfce";
var nonRep = document.getElementsByClassName("nonRep");
for (var i = 0; i < nonRep.length; i++) {
nonRep.item(i).style.display = "table";
}
}
</script>
</body>
</html>