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@dineshj1
dineshj1 / dj_papers.bib
Last active August 1, 2025 21:12
Publication List
@article{gao2025vlmgineer,
title={VLMgineer: Vision-Language Models as Robotic Toolsmiths},
author={Gao, George Jiayuan and Li, Tianyu and Shi, Junyao and Li, Yihan and Zhang, Zizhe and Figueroa, Nadia and Jayaraman, Dinesh},
journal={(Under review at NeurIPS)},
year={2025},
url={https://openreview.net/forum?id=bBed9j01Dk},
abstract={Tool design and use reflect the ability to understand and manipulate the physical world through creativity, planning, and foresight. As such, it is often regarded as a measurable indicator of cognitive intelligence across biological species. While much of today's research on robotics intelligence focuses on generating better control strategies, inventing smarter tools offers a complementary form of physical intelligence: moving the problem-solving onus into the tool's geometry so that control becomes simpler. This motivates us to ask: can today's foundation models offer useful priors to automatically invent—and effectively wield—such tools? We present VLMgineer, a fra
@dineshj1
dineshj1 / experimentlogger.py
Last active July 30, 2018 19:21
How to dump parameters to google spreadsheet to track experiments
# First make sure you pip install google-api-python-client
from apiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools
def store_opts(opt): # opt is the object returned by argparse
params = dict(opt.__dict__)
# here I remove parameters I don't want recorded in google sheets
params.pop('retain_in_test', None)
@dineshj1
dineshj1 / tf_explore.py
Created February 5, 2018 01:06
Script to explore tensorflow records file
# Written with help from http://warmspringwinds.github.io/tensorflow/tf-slim
# /2016/12/21/tfrecords-guide/
import os
import ipdb
import numpy as np
import tensorflow as tf
from tqdm import tqdm
tf_dir = './'
@dineshj1
dineshj1 / tsne visualization
Last active March 28, 2018 04:17
t-SNE visualization code
# Dinesh Jayaraman
# Based on code by
# Authors: Fabian Pedregosa <[email protected]>
# Olivier Grisel <[email protected]>
# Mathieu Blondel <[email protected]>
# Gael Varoquaux
# License: BSD 3 clause (C) INRIA 2011
print(__doc__)
@dineshj1
dineshj1 / demo_textprogressbar.m
Last active January 27, 2017 20:53
Textprogressbar from Matlab File Exchange with small mods
%demo_textprogressbar
%This a demo for textprogressbar script
textprogressbar('calculating outputs: ');
for i=1:100,
textprogressbar(i);
pause(0.1);
end
textprogressbar('done');
@dineshj1
dineshj1 / pycaffe training script
Created August 30, 2016 22:38
Training on Pycaffe
import argparse
import time
start_time=time.time();
################## Argument Parsing #####################################
parser=argparse.ArgumentParser();
parser.add_argument('-s','--solver', default='', type=str); # if empty, solver is created, else read
parser.add_argument('-res', '--resume_from', default='', type=str); #if not empty, resumes training from given file
parser.add_argument('-ft', '--finetune_from', default='', type=str);
@dineshj1
dineshj1 / job_submission_script_example.m
Last active August 28, 2016 22:39
Hyperparameter optimization scripts
function submitjobs(nosubmit, numjobs, main)
try
xlwrite_path='../data_utils/xlwrite/';
addpath(xlwrite_path);
javaaddpath([xlwrite_path 'poi_library/poi-3.8-20120326.jar']);
javaaddpath([xlwrite_path 'poi_library/poi-ooxml-3.8-20120326.jar']);
javaaddpath([xlwrite_path 'poi_library/poi-ooxml-schemas-3.8-20120326.jar']);
javaaddpath([xlwrite_path 'poi_library/xmlbeans-2.3.0.jar']);
javaaddpath([xlwrite_path 'poi_library/dom4j-1.6.1.jar']);
javaaddpath([xlwrite_path 'poi_library/stax-api-1.0.1.jar']);
@dineshj1
dineshj1 / image_scatter.py
Created May 24, 2016 16:46 — forked from lukemetz/image_scatter.py
Image tsne scatter plot
from tsne import bh_sne
import numpy as np
from skimage.transform import resize
from matplotlib import pyplot as plt
def gray_to_color(img):
if len(img.shape) == 2:
img = np.dstack((img, img, img))
return img
@dineshj1
dineshj1 / cluster
Created August 6, 2014 01:13 — forked from jdeng/cluster
// generate [0..n-1]
auto seq = [](size_t n) -> std::vector<size_t> {
std::vector<size_t> v(n);
for (size_t i=0; i<n; ++i) v[i] = i;
return v;
};
auto index = seq(n);
// n * n distance matrix
std::vector<D> dists(n * n);